Abstract: Path planning is a critical problem in robotic autonomous navigation, requiring the computation of a practical route from the start point to the goal point while satisfying various ...

GA outperforms all three benchmarks (JK test, p < 0.05). Evaluation: Jan 2005 – Dec 2025, 252 monthly periods, γ = 0.3%. Mean-variance optimization breaks down when the estimation window is short ...

Abstract: This paper introduces GA-VAE, a fine-tuning framework that enhances local feature representation in pre-trained Vector Quantized-VAE (VQ-VAE) models through genetic algorithm-based ...

It provides the real-world traffic dataset collected from Bethlehem City (Palestine), SUMO simulation scenarios, and the NSGA-II / Rolling-Horizon Optimization source code used in the study. ├── ...